#infoq — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #infoq, aggregated by home.social.
-
Technical excellence alone isn’t enough to grow your impact or your career!
To reach the next level, Senior ICs need a different set of tools.
Netflix’s Kasia Trapszo shares how to master:
• Influence without authority
• Cross-team trust
• Imposter syndrome🔗 Watch the #InfoQ video (transcript included): https://bit.ly/4ty7Gds
#EngineeringLeadership #CareerGrowth #StaffPlus #TechCareers
-
Technical excellence alone isn’t enough to grow your impact or your career!
To reach the next level, Senior ICs need a different set of tools.
Netflix’s Kasia Trapszo shares how to master:
• Influence without authority
• Cross-team trust
• Imposter syndrome🔗 Watch the #InfoQ video (transcript included): https://bit.ly/4ty7Gds
#EngineeringLeadership #CareerGrowth #StaffPlus #TechCareers
-
Backlogs in #DistributedSystems are arithmetic, not mysteries.
This #InfoQ article shows:
• backlog drain time
• consumer headroom
• autoscaling triggersFailure modes:
• retry amplification
• metastability
• cascading bottlenecksSometimes shedding load > draining: https://bit.ly/4npFNmt
-
Backlogs in #DistributedSystems are arithmetic, not mysteries.
This #InfoQ article shows:
• backlog drain time
• consumer headroom
• autoscaling triggersFailure modes:
• retry amplification
• metastability
• cascading bottlenecksSometimes shedding load > draining: https://bit.ly/4npFNmt
-
#Netflix developed a graph-based architecture for managing #ML systems: the Model Lifecycle Graph.
It maps relationships between datasets, models, features, and workflows to improve discoverability, governance, and component reuse - while enabling a self-service workflow for engineers and data scientists.
Learn more: https://bit.ly/3Rlfa6g
-
Two recent #Linux kernel vulnerabilities have been disclosed:
➡️ Copy Fail (CVE-2026-31431)
➡️ Dirty Frag (CVE-2026-43284 & CVE-2026-43500)Both vulnerabilities exploit flaws in the page cache via different subsystems, necessitating immediate patching by affected organizations.
More details on #InfoQ ➡️ https://bit.ly/4dHOx47
-
Google Cloud’s DORA team released a report on assessing the #ROI of #AI in #SoftwareDevelopment.
Key points:
• AI value depends more on org systems than tools alone
• Introduces a J-curve for value realization
• Long-term gains require workforce retention + process redesign🔗 Learn more: https://bit.ly/4uhL02E
-
Every #TimeSeriesDatabase is just a set of storage decisions:
➡️ Row layout
➡️ Compression timing
➡️ Partitioning strategyThese choices often impact cost and query performance more than the database you pick.
This #InfoQ article breaks down these fundamentals from first principles using #PostgreSQL & #ApacheParquet ⇨ https://bit.ly/4fkDHlV
-
Every #TimeSeriesDatabase is just a set of storage decisions:
➡️ Row layout
➡️ Compression timing
➡️ Partitioning strategyThese choices often impact cost and query performance more than the database you pick.
This #InfoQ article breaks down these fundamentals from first principles using #PostgreSQL & #ApacheParquet ⇨ https://bit.ly/4fkDHlV
-
Every #TimeSeriesDatabase is just a set of storage decisions:
➡️ Row layout
➡️ Compression timing
➡️ Partitioning strategyThese choices often impact cost and query performance more than the database you pick.
This #InfoQ article breaks down these fundamentals from first principles using #PostgreSQL & #ApacheParquet ⇨ https://bit.ly/4fkDHlV
-
Every #TimeSeriesDatabase is just a set of storage decisions:
➡️ Row layout
➡️ Compression timing
➡️ Partitioning strategyThese choices often impact cost and query performance more than the database you pick.
This #InfoQ article breaks down these fundamentals from first principles using #PostgreSQL & #ApacheParquet ⇨ https://bit.ly/4fkDHlV
-
Every #TimeSeriesDatabase is just a set of storage decisions:
➡️ Row layout
➡️ Compression timing
➡️ Partitioning strategyThese choices often impact cost and query performance more than the database you pick.
This #InfoQ article breaks down these fundamentals from first principles using #PostgreSQL & #ApacheParquet ⇨ https://bit.ly/4fkDHlV
-
How #Netflix boosted #ApacheDruid performance: by implementing interval-aware caching, they now serve 84% of analytics results from cache and have reduced query load by 33%.
The secret? Decomposing rolling window queries into reusable time segments.
✅ Reduces scan volume
✅ Improves P90 latency
✅ Optimizes real-time analyticsDetails on #InfoQ: https://bit.ly/4uHG4DE
#SoftwareArchitecture #DistributedSystems #DataAnalytics #TimeSeriesData #Caching #BigData #DataEngineering
-
My #BSSN interview with @BenLinders at #InfoQ is now online. Thanks Ben!
https://www.infoq.com/news/2026/05/best-simple-system-design/
-
#AWS updated Amazon #AuroraServerless with a new platform version that improves scaling behavior & runtime efficiency.
➡️ up to 45% faster scale-up during demand spikes
➡️ up to 30% performance improvement via improved resource scheduling + workload-aware scalingLearn more: https://bit.ly/3PFT9P7
-
#AWS updated Amazon #AuroraServerless with a new platform version that improves scaling behavior & runtime efficiency.
➡️ up to 45% faster scale-up during demand spikes
➡️ up to 30% performance improvement via improved resource scheduling + workload-aware scalingLearn more: https://bit.ly/3PFT9P7
-
#AWS updated Amazon #AuroraServerless with a new platform version that improves scaling behavior & runtime efficiency.
➡️ up to 45% faster scale-up during demand spikes
➡️ up to 30% performance improvement via improved resource scheduling + workload-aware scalingLearn more: https://bit.ly/3PFT9P7
-
#AWS updated Amazon #AuroraServerless with a new platform version that improves scaling behavior & runtime efficiency.
➡️ up to 45% faster scale-up during demand spikes
➡️ up to 30% performance improvement via improved resource scheduling + workload-aware scalingLearn more: https://bit.ly/3PFT9P7
-
#AWS updated Amazon #AuroraServerless with a new platform version that improves scaling behavior & runtime efficiency.
➡️ up to 45% faster scale-up during demand spikes
➡️ up to 30% performance improvement via improved resource scheduling + workload-aware scalingLearn more: https://bit.ly/3PFT9P7
-
Meet #Cangjie (CJ) - a new application development language.
Positioned as a counterpart to Java, Kotlin, and Swift, CJ isn't just about safety & speed. It features:
🔹 Algebraic Data Types (ADTs)
🔹 Effect HandlersCJ is designed for high-performance, general-purpose apps.
Get the deep dive on #InfoQ: https://bit.ly/4nsiJUg
-
In this #InfoQ #podcast, Adam Bien highlights the importance of consistently using standards - whether in Java or established patterns.
He explains how this approach helped future-proof the systems he built, making them adaptable for both the cloud era & the AI-native era.
🎧 Listen now: https://bit.ly/49w4QP5
📄 #transcript included
-
A three-tier hybrid architecture routes 70–80% of documents to local deterministic extraction, cutting Azure OpenAI costs by 75% and processing time by 55% on a 4,700-document workload.
🔗 Read the #InfoQ article for more insights: https://bit.ly/4dD8Ob5
#CloudComputing #Azure #GenerativeAI #LLMs #CostOptimization
-
#MySQL 9.7.0 is now generally available!
This version consolidates recent work across the 9.x cycle, including improvements in replication observability, telemetry & query optimization.
Several capabilities previously available only in the Enterprise Edition are now available in the Community Edition.
Learn more: https://bit.ly/49JJbD4
-
#MySQL 9.7.0 is now generally available!
This version consolidates recent work across the 9.x cycle, including improvements in replication observability, telemetry & query optimization.
Several capabilities previously available only in the Enterprise Edition are now available in the Community Edition.
Learn more: https://bit.ly/49JJbD4
-
#MySQL 9.7.0 is now generally available!
This version consolidates recent work across the 9.x cycle, including improvements in replication observability, telemetry & query optimization.
Several capabilities previously available only in the Enterprise Edition are now available in the Community Edition.
Learn more: https://bit.ly/49JJbD4
-
#MySQL 9.7.0 is now generally available!
This version consolidates recent work across the 9.x cycle, including improvements in replication observability, telemetry & query optimization.
Several capabilities previously available only in the Enterprise Edition are now available in the Community Edition.
Learn more: https://bit.ly/49JJbD4
-
#MySQL 9.7.0 is now generally available!
This version consolidates recent work across the 9.x cycle, including improvements in replication observability, telemetry & query optimization.
Several capabilities previously available only in the Enterprise Edition are now available in the Community Edition.
Learn more: https://bit.ly/49JJbD4
-
It’s been a packed week for the #Java ecosystem - here’s what just landed 👉 https://bit.ly/3P0tUa5
OpenJDK JEPs targeted for JDK 27; the sixth milestone release of Spring AI 2.0; the first milestone release of Grails 8.0; the first alpha release of Groovy 6.0; a point release of JobRunr; maintenance releases of GlassFish, TomEE and Tomcat; an accelerated release train for GraalVM; and resolutions to Quarkus CVEs.
-
Joydip Kanjilal’s article on #InfoQ examines the Sidecar Design Pattern - its benefits & how to implement it in a microservices-based application.
He also covers common issues with sidecar implementations and how to mitigate them.
🔗 Read now: https://bit.ly/3Rwbj6m
-
#ClaudeCode is built to maximize AI development velocity.
People often look for hidden complexity or secret architecture in AI tools. The reality is far more disciplined:
• Async generators
• Well-typed interfaces
• Simple orchestration patternsThe real innovation was deliberately choosing simplicity to move faster.
In this #InfoQ video, Adam Wolff explores the architectural decisions that prioritize speed over complexity - and how this velocity-first approach leads to process–product convergence, where internal workflows evolve into user-facing capabilities.
🎬 Watch now: https://bit.ly/3RwBgTm
📄 #transcript included
-
#LinkedIn has launched a unified integrations platform to standardize & reconcile hiring data across systems.
• 72% faster onboarding
• Improved data consistency and completeness
• Scalable AI-driven hiring enabled via standardized schemas, orchestration workflows, and centralized data processingLearn more: https://bit.ly/48KFwof
#SoftwareArchitecture #EvolutionaryArchitecture #DataPipelines #DataAnalytics #InfoQ
-
In this #InfoQ podcast, Somtochi Onyekwere breaks down:
• Recent developments in #DistributedDataSystems
• How to achieve fast, eventually consistent replication across distributed nodes
• Using #CRDTs (Conflict-free Replicated Data Types) to resolve data conflicts seamlessly🎧 Listen here: https://bit.ly/49OiNaE
-
An attacker purchased the entire Essential Plugin portfolio - 30+ WordPress plugins with ~400k installs - on Flippa.
➡️ First code commit introduced a PHP deserialization backdoor
➡️ Dormant for 8 months
➡️ Activated in April 2026, injecting cloaked SEO spam across thousands of sites.
➡️ WordPress shut down all 31 plugins in a single dayFind out more: https://bit.ly/4u9pJb9
-
#OpenAI has launched a #WebSocket-based execution mode for its Responses API to improve the performance of agentic workflows used in coding agents and real-time AI systems.
The Impact: early production use shows up to 40% latency reduction and improved throughput in high-concurrency scenarios.
Learn more: https://bit.ly/3Pg3ZuS
-
#Confluent introduces a new approach in #ApacheKafka that moves schema IDs from message payloads to record headers.
✅ Simplify schema governance & evolution.
✅ Improve compatibility across serialization formats
✅ Reduce coupling between data & metadata in event-driven architecturesRead the deep dive on #InfoQ ⇨ https://bit.ly/4tF7Fot
#ML #EventStreamProcessing #ProtocolBuffers #DataPipelines #DataAnalytics
-
Grafana Labs has released v4 of its Kubernetes Monitoring Helm chart - the biggest update since the chart launched.
The release tackles long-standing configuration issues that surfaced as teams scaled to larger, more complex Kubernetes deployments.
More on #InfoQ ⇨ https://bit.ly/4du3d6T
-
Grafana Labs has released v4 of its Kubernetes Monitoring Helm chart - the biggest update since the chart launched.
The release tackles long-standing configuration issues that surfaced as teams scaled to larger, more complex Kubernetes deployments.
More on #InfoQ ⇨ https://bit.ly/4du3d6T
-
Grafana Labs has released v4 of its Kubernetes Monitoring Helm chart - the biggest update since the chart launched.
The release tackles long-standing configuration issues that surfaced as teams scaled to larger, more complex Kubernetes deployments.
More on #InfoQ ⇨ https://bit.ly/4du3d6T
-
Grafana Labs has released v4 of its Kubernetes Monitoring Helm chart - the biggest update since the chart launched.
The release tackles long-standing configuration issues that surfaced as teams scaled to larger, more complex Kubernetes deployments.
More on #InfoQ ⇨ https://bit.ly/4du3d6T
-
Grafana Labs has released v4 of its Kubernetes Monitoring Helm chart - the biggest update since the chart launched.
The release tackles long-standing configuration issues that surfaced as teams scaled to larger, more complex Kubernetes deployments.
More on #InfoQ ⇨ https://bit.ly/4du3d6T
-
In tech, we know how to scale systems. But scaling humans? Well … that’s another story.
Even with the right tools and processes, technical teams often struggle to scale behaviorally & culturally.
In this #InfoQ video, Charlotte de Jong Schouwenburg explores why behavioral and cultural scaling is harder than technical scaling - and what leaders and teams can do about it.
🎬 Watch now: https://bit.ly/4uw8ctk
📄 #transcript included
-
In tech, we know how to scale systems. But scaling humans? Well … that’s another story.
Even with the right tools and processes, technical teams often struggle to scale behaviorally & culturally.
In this #InfoQ video, Charlotte de Jong Schouwenburg explores why behavioral and cultural scaling is harder than technical scaling - and what leaders and teams can do about it.
🎬 Watch now: https://bit.ly/4uw8ctk
📄 #transcript included
-
In tech, we know how to scale systems. But scaling humans? Well … that’s another story.
Even with the right tools and processes, technical teams often struggle to scale behaviorally & culturally.
In this #InfoQ video, Charlotte de Jong Schouwenburg explores why behavioral and cultural scaling is harder than technical scaling - and what leaders and teams can do about it.
🎬 Watch now: https://bit.ly/4uw8ctk
📄 #transcript included
-
In tech, we know how to scale systems. But scaling humans? Well … that’s another story.
Even with the right tools and processes, technical teams often struggle to scale behaviorally & culturally.
In this #InfoQ video, Charlotte de Jong Schouwenburg explores why behavioral and cultural scaling is harder than technical scaling - and what leaders and teams can do about it.
🎬 Watch now: https://bit.ly/4uw8ctk
📄 #transcript included
-
In tech, we know how to scale systems. But scaling humans? Well … that’s another story.
Even with the right tools and processes, technical teams often struggle to scale behaviorally & culturally.
In this #InfoQ video, Charlotte de Jong Schouwenburg explores why behavioral and cultural scaling is harder than technical scaling - and what leaders and teams can do about it.
🎬 Watch now: https://bit.ly/4uw8ctk
📄 #transcript included
-
#CaseStudy - Discover how #Figma replaced a fragmented caching stack with FigCache - an in-house #Redis proxy service.
The result: what the company describes as six nines of uptime across its caching layer.
🔗 Explore the architecture, the tradeoffs, and the lessons learned on #InfoQ ⇨ https://bit.ly/42SKf3L
-
DuckDB Labs released #DuckLake 1.0 - a data lake format that stores table metadata in a SQL database, rather than spreading it across object storage files.
Key features:
• catalog-stored small updates
• improved sorting and partitioning
• compatibility with Iceberg-style data featuresLearn more ⇨ https://bit.ly/48PsPIS
-
DuckDB Labs released #DuckLake 1.0 - a data lake format that stores table metadata in a SQL database, rather than spreading it across object storage files.
Key features:
• catalog-stored small updates
• improved sorting and partitioning
• compatibility with Iceberg-style data featuresLearn more ⇨ https://bit.ly/48PsPIS
-
DuckDB Labs released #DuckLake 1.0 - a data lake format that stores table metadata in a SQL database, rather than spreading it across object storage files.
Key features:
• catalog-stored small updates
• improved sorting and partitioning
• compatibility with Iceberg-style data featuresLearn more ⇨ https://bit.ly/48PsPIS
-
DuckDB Labs released #DuckLake 1.0 - a data lake format that stores table metadata in a SQL database, rather than spreading it across object storage files.
Key features:
• catalog-stored small updates
• improved sorting and partitioning
• compatibility with Iceberg-style data featuresLearn more ⇨ https://bit.ly/48PsPIS